# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Implementation of various loss functions.
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf


def softmax_crossentropy(logits, labels):
  batch_loss = tf.nn.softmax_cross_entropy_with_logits(
      logits=logits, labels=labels
  )
  return tf.reduce_mean(batch_loss)

